GPU

Choosing the right type of hardware for deep learning tasks is a widely discussed topic. An obvious conclusion is that the decision should be dependent on the task at hand and based on factors such as throughput requirements and cost.

High-performance computing, artificial intelligence, and visualization GPUs have a wide variety of uses. That’s why Microsoft has partnered with NVIDIA to bring a wide variety of NVIDIA GPUs to Azure. Join us in San Jose next week at NVIDIA’s GPU technology conference to learn how Azure customers combine the flexibility and elasticity of the cloud with the capability of NVIDIA’s GPUs.

As our customers bring their workloads to the cloud to take advantages of scale on-demand, without the overhead of managing infrastructure, they ask if Microsoft can support them with Linux. The answer is yes.